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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition
|
|---|---|
| Published in |
Acta Neuropathologica Communications, March 2014
|
| DOI | 10.1186/2051-5960-2-26 |
| Pubmed ID | |
| Authors |
Jon B Toledo, Michael W Weiner, David A Wolk, Xiao Da, Kewei Chen, Steven E Arnold, William Jagust, Clifford Jack, Eric M Reiman, Christos Davatzikos, Leslie M Shaw, John Q Trojanowski, for the Alzheimer’s Disease Neuroimaging Initiative |
| Abstract |
Based on previous studies, a preclinical classification for Alzheimer's disease (AD) has been proposed. However, 1) specificity of the different neuronal injury (NI) biomarkers has not been studied, 2) subjects with subtle cognitive impairment but normal NI biomarkers (SCINIB) have not been included in the analyses and 3) progression to mild cognitive impairment (MCI) or dementia of the AD type (DAT), referred to here as MCI/DAT, varies between studies. Therefore, we analyzed data from 486 cognitively normal (CN) and 327 DAT subjects in the AD Neuroimaging Initiative (ADNI)-1/GO/2 cohorts. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 105 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 23% |
| Student > Ph. D. Student | 23 | 21% |
| Other | 10 | 9% |
| Student > Master | 8 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 21% |
| Neuroscience | 21 | 20% |
| Psychology | 18 | 17% |
| Agricultural and Biological Sciences | 8 | 7% |
| Computer Science | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 24 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2022.
All research outputs
#2,934,826
of 23,515,383 outputs
Outputs from Acta Neuropathologica Communications
#550
of 1,432 outputs
Outputs of similar age
#29,929
of 222,724 outputs
Outputs of similar age from Acta Neuropathologica Communications
#3
of 32 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 222,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.